Job Overview

Implement and maintain data workflows, ETL / ELT processes, and pipelines to move identified Design and implement identified data processes and storage such as usage of databases, data warehouses, data marts, and data lakes with data security in mindBuild supporting tooling and procedures needed for data movement and monitoring activitiesImplement available automations for data movement processesEnsure delivered workflows and processes meet expected quality outputs through conducting testingDocument specs and implementations of deliverables mentionedWork with operations teams for maintenance and continuous improvement of workflows and pipelines into target platforms for further consumption and integration as required by product data owners

Key Capabilities/Experience

Proficiency and experience in programming languages such as Python, shell scriptingExpertise in ETL technologies such as IBM DataStage or similar tooling and data integrationExpertise in SQL / RDBMS databases, handling of structured and unstructured dataExtensive experience in design and implementation of data handling processes (ingestion, transformation, modelling, and storage)Experience in cloud platforms and technologies (Azure, AWS, GCP) and DBTFlexible and willing to learn various ETL / data integration tools and productsExperienced with software version control technologies such as GitExperience in Automic (UC4) is a plusExperience in CI / CD and Devops is a plus

Minimum Qualifications

Strong problem solving and solutions engineering mindsetExperience in working and coordinating remotely with international teams and stakeholdersExperience in Agile way of working is a plusPreferably a degree in the related fields of Computer ScienceProfessional proficiency in English (speech and writing)